Microsoft Cloud is looking to strengthen quality, reliability, security, and customer trust by driving operational excellence across the cloud through AI-first operations
Requirements
- Coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- Experience applying AI/ML to developer workflows, engineering systems, and test automation
- 12+ years designing or architecting distributed systems, cloud platforms, or AI-enabled services
- Deep experience with agent-to-agent communication and AI orchestration patterns
- Understanding of the Model Context Protocol (MCP)
- Experience integrating external tools, APIs, and data systems into LLM pipelines
- Ability to design and operate secure, multi-tenant AI execution environments with isolation and throttle controls
Responsibilities
- Lead end-to-end technical design and implementation of AI capabilities that support the org’s AI transformation agenda (e.g., copilots, automation, insights for LT/XLT and broader teams)
- Work directly with the CVP and the LT to turn loosely defined AI ideas and offsite outcomes into concrete technical roadmaps, prototypes, and production grade solutions
- Build and own durable AI/ML systems and pipelines (incl. data, evaluation, safety/guardrails, and observability) that can be reused across multiple teams and scenarios
- Partner with product, operations, and HR/learning stakeholders to identify high impact AI use cases, define success metrics, and iterate quickly based on feedback and usage data
- Establish engineering standards and best practices for AI work in the org (coding, review, experimentation, privacy/security, and responsible AI), and mentor other engineers in adopting them
- Act as the “first customer” and technical voice in leadership
- Decisive, collaborative, and innovative leadership style
Other
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience
- Ability to meet Microsoft, customer and/or government security screening requirements
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience
- 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- Communication skills with the ability to influence both technical and executive audiences
